Mathias Mantelli
Papers
13
Total Citations
84
H-Index
6
About
Mathias Mantelli is a robotics researcher whose work focuses on enabling mobile robots to autonomously navigate and operate in complex, real-world environments. His key research areas include semantic terrain segmentation, autonomous disinfection, and exploration strategies for both indoor and outdoor settings. Mantelli’s most cited work, “Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots” (24 citations), introduces a novel approach that allows robots to safely traverse outdoor terrains by analyzing and classifying the ground, a critical capability for tasks like search and rescue and delivery. He also made significant contributions during the COVID-19 pandemic with “Autonomous Environment Disinfection Based on Dynamic UV-C Irradiation Map” (10 citations), developing a system to create and follow disinfection maps to combat surface transmission. His other notable contributions include exploration of 3D terrains using potential fields and vision-based global localization using ceiling space density. Mantelli’s involvement in the Humanitarian Robotics and Automation Technology Challenge (2016, 2017) underscores his commitment to applying robotics for social good, demonstrating a career dedicated to making robots more perceptive, autonomous, and impactful in serving human needs.
Research Focus
Key Achievements
Top Papers
- 1Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots24 citations · 2021
- 2Autonomous Environment Disinfection Based on Dynamic UV-C Irradiation Map10 citations · 2022
- 3
- 4Vision-Based Global Localization Using Ceiling Space Density8 citations · 2018
- 5
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- 7Semantic Temporal Object Search System Based on Heat Maps5 citations · 2022
- 8
- 9Three level sequence-based Loop Closure Detection3 citations · 2020
- 10